Application of Digital Twin and Heuristic Computer Reasoning to Workflow Management: Gastroenterology Outpatient Centers Study

Submitted by gpeng on Tue, 04/11/2023 - 15:51
Marc Garbey
Guillaume Joerger
Shannon Furr
Publication journal
Journal of Surgery and Research. 6 (2023): 104-129.

The workflow in a large medical procedural suite is characterized by high variability of input and suboptimum throughput. Today, Electronic Health Record systems do not address the problem of workflow efficiency: there is still high frustration from medical staff who lack real-time awareness and need to act in response of events based on their personal experiences rather than anticipating. In a medical procedural suite, there are many nonlinear coupling mechanisms between individual tasks that could go wrong and therefore is difficult for any individual to control the workflow in real-time or optimize it in the long run. We propose a system approach by creating a digital twin of the procedural suite that assimilates Electronic Health Record data and supports the process of making rational, data driven, decisions to optimize the workflow on a continuous basis. In this paper, we focus on long term improvements of gastroenterology outpatient centers as a prototype example and use six months of data acquisition in two different clinical sites to validate the artificial intelligence algorithms.


See Digital Twins Special Interest Group on the IMAG wiki

Publication Date
Digital twin
Workflow optimization
Heuristic computer reasoning
Cyber-physical system
Electronic health record
Artificial intelligence